Easily build semantic image search using Amazon Titan

Digital publishers are continuously looking for ways to streamline and automate their media workflows to generate and publish new content as rapidly as they can, but without foregoing quality.

Adding images to capture the essence of text can improve the …

Operationalize LLM Evaluation at Scale using Amazon SageMaker Clarify and MLOps services

In the last few years Large Language Models (LLMs) have risen to prominence as outstanding tools capable of understanding, generating and manipulating text with unprecedented proficiency. Their potential applications span from conversational agents to content generation and information retrieval, holding …

AWS and NVIDIA expand partnership to advance generative AI

Amazon Web Services (AWS) and NVIDIA have announced a significant expansion of their strategic collaboration at AWS re:Invent. The collaboration aims to provide customers with state-of-the-art infrastructure, software, and services to fuel generative AI innovations.

The collaboration brings together the …

AWS and NVIDIA expand partnership to advance generative AI

Amazon Web Services (AWS) and NVIDIA have announced a significant expansion of their strategic collaboration at AWS re:Invent. The collaboration aims to provide customers with state-of-the-art infrastructure, software, and services to fuel generative AI innovations.

The collaboration brings together the …

Simplify data prep for generative AI with Amazon SageMaker Data Wrangler

Generative artificial intelligence (generative AI) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. However, these models require massive amounts of clean, structured training data to reach their full potential. Most real-world data exists in unstructured …

Amazon Transcribe announces a new speech foundation model-powered ASR system that expands support to over 100 languages

Amazon Transcribe is a fully managed automatic speech recognition (ASR) service that makes it straightforward for you to add speech-to-text capabilities to your applications. Today, we are happy to announce a next-generation multi-billion parameter speech foundation model-powered system that expands …

How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

This post was co-written with Greg Benson, Chief Scientist; Aaron Kesler, Sr. Product Manager; and Rich Dill, Enterprise Solutions Architect from SnapLogic.

Many customers are building generative AI apps on Amazon Bedrock and Amazon CodeWhisperer to create code artifacts based …

Build a contextual chatbot for financial services using Amazon SageMaker JumpStart, Llama 2 and Amazon OpenSearch Serverless with Vector Engine

The financial service (FinServ) industry has unique generative AI requirements related to domain-specific data, data security, regulatory controls, and industry compliance standards. In addition, customers are looking for choices to select the most performant and cost-effective machine learning (ML) model …

Anthropic upsizes Claude 2.1 to 200K tokens, nearly doubling GPT-4

San Francisco-based AI startup Anthropic has unveiled Claude 2.1, an upgrade to its language model that boasts a 200,000-token context window—vastly outpacing the recently released 120,000-token GPT-4 model from OpenAI.  

The release comes on the heels of an expanded partnership …

Amazon Textract’s new Layout feature introduces efficiencies in general purpose and generative AI document processing tasks

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. AnalyzeDocument Layout is a new feature that allows customers to automatically extract layout elements such as paragraphs, titles, subtitles, headers, …

Paul O’Sullivan, Salesforce: Transforming work in the GenAI era

In the wake of the generative AI (GenAI) revolution, UK businesses find themselves at a crossroads between unprecedented opportunities and inherent challenges.

Paul O’Sullivan, Senior Vice President of Solution Engineering (UKI) at Salesforce, sheds light on the complexities of this …

Use Amazon SageMaker Studio to build a RAG question answering solution with Llama 2, LangChain, and Pinecone for fast experimentation

Retrieval Augmented Generation (RAG) allows you to provide a large language model (LLM) with access to data from external knowledge sources such as repositories, databases, and APIs without the need to fine-tune it. When using generative AI for question answering, …

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